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Here's What They Didn't Tell You About Gemini 3

#AI Tools
2025-11-24 10:189 min read

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The content discusses the recent official announcement from Google regarding the release of Gemini 3, highlighting its new AI-powered tools. The author examines the capabilities of Gemini 3 compared to previous models, emphasizing its advancements towards Artificial General Intelligence (AGI). They review the model's performance on various benchmarks, including coding tests, where Gemini 3 reportedly outperforms notable competitors like Claude 4.5 and GPT 5.1. The discussion also covers user interface (UI) generation capabilities, noting significant improvements which make the model appealing for design tasks. However, the author expresses some dissatisfaction with Gemini CLI, citing clunky performance and issues with long wait times during command executions. Despite these concerns, they conclude that Gemini 3's UI innovations position it as a strong contender in the AI space while cautioning against potential overhyping by users. The review ultimately offers a balanced perspective on Gemini 3, underlining its strengths and areas for improvement.

Key Information

  • Google has officially announced the release of Gemini 3 and new AI-powered tools in their ecosystem after a long wait and many fake leaks.
  • The announcement highlights Gemini 3 Pro as the default model across Google's main applications, indicating significant evolution from its predecessor, Gemini 1.
  • Google emphasizes that Gemini 3 Pro represents a crucial step towards Artificial General Intelligence (AGI).
  • They claim Gemini 3 Pro to be the best model globally for multimodal understanding, which is considered authentic by the reviewer to some extent.
  • Benchmarks show that Gemini 3 significantly outperforms other models like Claude 4.5 and GPT 5.1 in competitive programming tasks.
  • The reviewer conducted various tests and reported frustrations with the user interface (UI) of both Gemini CLI and Code, citing instances of clunkiness and errors during testing.
  • The Gemini CLI was noted to have issues with context handling and delays in completing commands, which impacted the overall user experience.
  • Despite its flaws, the Gemini UI was ultimately praised for its design and innovative features, suggesting it may redefine UI interaction standards in the future.

Timeline Analysis

Content Keywords

Gemini 3

Google announced the release of Gemini 3, which comes with new AI-powered tools in their ecosystem. During a video, the speaker discusses the features and enhancements of Gemini 3 compared to previous models, constantly questioning its claimed effectiveness.

AI Labs

The video is hosted on AI Labs, which includes a series named 'Debunked' that evaluates AI tools and models, stripping away marketing hype to show practical results based on testing.

live codebench pro

The speaker uses Live Codebench Pro to compare Gemini 3's performance, indicating the model significantly outperformed Claude 4.5 and GPT 5.1 on various coding benchmarks.

User Interface Generation

The speaker tests the UI generation capabilities of different AI models, including Claude and GPT 5.1, concluding that Gemini's design is aesthetically pleasing, with smooth animations.

Coding Capabilities

A test is performed to evaluate the coding capabilities of Gemini 3, specifically focusing on its performance in creating Mac OS applications. The speaker emphasizes the testing of real-world usage scenarios rather than basic functionalities.

Implementation Issues

The speaker addresses various issues with Gemini CLI, including clunky performance, a limited context window, and problems with the displayed UI, alluding to a frustrating user experience despite the model's strengths.

Feedback on Gemini CLI

The speaker expresses disappointment with Gemini CLI, mentioning its slow response times and incomplete implementation of commands, adding that there were significant issues with stability during their testing.

Sound Effects Implementation

The speaker contrasts the lack of sound effects in Claude's implementation with Gemini's successful implementation, praising the latter’s overall quality in UX design.

Overall Assessment

While acknowledging that both models have their flaws, the speaker states that Gemini has the potential to be a strong UI design model, suggesting a need for improvement in usability and practical performance in real-world applications.

Related questions&answers

What was the official announcement from Google?

Google released Gemini 3 along with a bunch of new AI powered tools in their ecosystem.

How does Gemini 3 compare to previous models?

Gemini 3 Pro is now the default model in all of Google's main apps, marking a significant step towards AGI.

What improvements does Gemini 3 claim to have?

Google claims that Gemini 3 is the best model for multimodal understanding.

What are some benchmarks for Gemini 3?

Gemini 3 significantly beats Claude 4.5 and GPT 5.1 in various coding benchmarks.

What were some testing experiences with Gemini 3?

The testing showed that while Gemini 3 is fast, there were some issues like getting stuck in the theme menu and having a clunky experience with the CLI.

What are the UI generation capabilities of Gemini 3?

The UI generation capabilities are reported to be very creative, but there were issues with implementation.

What are some new features of Gemini 3?

Gemini 3 includes friends' sound effects and wallpapers generated by AI.

What was the overall impression of Gemini 3?

While it shows potential with a high context window, some aspects were overhyped and fell short in practical applications.

How does Gemini 3 handle code generation?

It performed well in generating usable Mac OS applications but faced challenges in proper implementation.

What was the feedback on the Gemini CLI experience?

It was described as clunky and problematic, with several instances of needing to be reprompted to function correctly.

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